In [2]:

    

import pandas as pd
%matplotlib inline
from sklearn import datasets
from sklearn import tree
import matplotlib.pyplot as plt


    

In [6]:

    

iris = datasets.load_iris()


    

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In [7]:

    

x = iris.data[:,2:]


    

In [30]:

    

x[120]


    

    
Out[30]:





array([ 5.7,  2.3])

In [25]:

    

def irisclassifier(length,width):
    if length <=2.45:
        return 'Class 0'
    else:
        if width<=1.75:
            if length<=4.95:
                if width<=1.65:
                    return 'Class 1'
                else:
                    if width<=1.55:
                        if length <=5.45:
                            return 'Class 1'
                        else:
                            return 'Class 2'
                    else:
                        return 'Class 2'
            else:
                return 'Class 3'


    

In [31]:

    

irisclassifier(5.7,2.3)


    

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